<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Numpy on Ethanyi's Blog</title><link>https://thanyi.github.io/tags/numpy/</link><description>Recent content in Numpy on Ethanyi's Blog</description><image><title>Ethanyi's Blog</title><url>https://thanyi.github.io/og.jpeg</url><link>https://thanyi.github.io/og.jpeg</link></image><generator>Hugo -- 0.168.0</generator><language>zh-cn</language><copyright>2021–2026 Ethanyi</copyright><lastBuildDate>Tue, 14 Sep 2021 01:39:14 +0000</lastBuildDate><atom:link href="https://thanyi.github.io/tags/numpy/rss.xml" rel="self" type="application/rss+xml"/><item><title>numpy的学习笔记</title><link>https://thanyi.github.io/2021/09/08/015python%E4%B8%ADnumpy%E7%9A%84%E7%94%A8%E6%B3%95/</link><pubDate>Wed, 08 Sep 2021 13:51:58 +0000</pubDate><guid>https://thanyi.github.io/2021/09/08/015python%E4%B8%ADnumpy%E7%9A%84%E7%94%A8%E6%B3%95/</guid><description>整理 NumPy 的常用数组操作和学习笔记，包括数组创建、索引切片、广播和常用数学函数，适合作为机器学习和数据分析的入门参考。</description></item></channel></rss>